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Babelfish.ai
Overview :
babelfish.ai is a browser-based application for real-time speech-to-text transcription and translation. It leverages Huggingface Transformer.js and Supabase Realtime technology to enable localized real-time speech recognition and multilingual translation functionalities. The application supports the real-time conversion of speech to text and can translate that text into 200 languages, greatly enhancing the efficiency and convenience of cross-language communication.
Target Users :
The target audience includes individuals and business users requiring real-time speech transcription and multilingual translation capabilities, such as employees of multinational companies, language learners, and conference note-takers. This product is well-suited for them as it offers an efficient solution for voice recognition and translation without the need for additional hardware support.
Use Cases
Real-time recording and translation of meeting content in multinational conferences.
Language learners assisted by real-time transcription for enhanced language acquisition.
Journalists using the application for voice recording and instant translation during interviews.
Features
Real-time speech-to-text conversion in the browser, utilizing OpenAI Whisper technology.
Broadcast real-time speech transcription results to subscribed clients via Supabase Realtime.
Supports translation of text into 200 different languages using Meta's NLLB-200 technology.
Runs locally, requiring no server support.
Supports GitHub Pages deployment for easy access and use.
Provides detailed deployment and local runtime guides for quick user onboarding.
How to Use
Copy .env.local.example to .env.local.
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Set up Supabase credentials in the .env.local file.
Run npm run dev to start the application.
To deploy on GitHub Pages, configure secrets in the GitHub repository settings.
Push code to the main branch for automatic deployment to GitHub Pages.
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